Position Description

The Digital, Data, and Design (D^3) Institute at Harvard is accepting applications for a talented and motivated AI Engineer to join our Research and Data Science group. The successful candidate will be responsible for helping us design, build, and deploy AI-driven solutions that improve our products and services. You will have the opportunity to work on cutting-edge projects, collaborate with experienced AI engineers, and learn from industry experts. This is an excellent opportunity to gain valuable experience and develop your skills in the exciting field of AI. The AI Engineer will report directly to the Head of Research and Data Science who will allocate and manage requests of the team.

The Digital, Data, and Design Institute at Harvard (D^3) (re)invents how organizations compete and thrive in the digital world and educates a new generation of leaders. D^3 provides a new architecture for rigorous research, immersive learning, and cutting-edge practice. The Institute is built to dynamically adapt and scale, and responsibilities will evolve over time, visit our website for more information. https://d3.harvard.edu/

Responsibilities Include:

• Build programs by leveraging Generative AI models.
• Experience in accessing and utilizing open-source large language models.
• Ability to perform pretraining and fine tuning of large language models.
• Assist with the development of AI models and algorithms to solve business problems.
• Help design and implement data pipelines for large-scale data processing.
• Conduct experiments and perform statistical analysis to evaluate model performance.
• Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
• Participate in code reviews, testing, and debugging of AI systems.
• Build and engineer infrastructure on the cloud (AWS/GCP)

This role is also responsible for other duties as assigned.

Basic Qualifications

• Minimum of seven years' post-secondary education or relevant work experience

Additional Qualifications and Skills

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field required
• Strong programming skills in Python
• Familiarity with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with deploying models to the cloud (AWS/ GCP)
• Hands-on experience in using cutting edge Machine learning services such as Generative AI (GPT 4 API, LLaMa models, StableLM, etc).
• Experience with data analysis and visualization tools such as Plotly and Matplotlib

Additional Qualifications:

• Knowledge of software development best practices, including version control, testing, and debugging
• Excellent communication and teamwork skills
• Ability to work independently and take initiative.

Additional Information

This role is offered as a hybrid (some combination of onsite and remote) where you are required to be onsite at our Boston, MA based campus 3 days per week. Specific days and schedule will be determined between you and your manager.

We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role.

A cover letter is required to be considered for this opportunity.

Harvard Business School will not offer visa sponsorship for this opportunity.

Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here https://www.hbs.edu/employment.

Benefits

We invite you to visit Harvard's Total Rewards website to learn more about our outstanding benefits package, which may include:

• Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.
• Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.
• Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.
• Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.
• Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.
• Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.
• Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.
• Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.
• Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.

Work Format

Hybrid (partially on-site, partially remote)


Commitment to Equity, Diversity, Inclusion, and Belonging
Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.

EEO Statement
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

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